Data-Driven Understanding of Smart Service Systems Through Text Mining-Reference-Cited by-同舟云学术

Data-Driven Understanding of Smart Service Systems Through Text Mining

Published:2018-06 Issue:2 Volume:10 Page:154-180
ISSN:2164-3962
Container-title:Service Science
language:en
Short-container-title:Service Science

Author:

Lim Chiehyeon¹^ORCID,Maglio Paul P.²^ORCID

Affiliation:

1. School of Management Engineering and School of Business Administration, Ulsan National Institute of Science and Technology, Ulsan 44919, Republic of Korea

2. Ernest and Julio Gallo Management Program, School of Engineering, University of California, Merced, Merced, California 95343

Publisher

Institute for Operations Research and the Management Sciences (INFORMS)

Subject

Marketing,Management Science and Operations Research,Modeling and Simulation,Business and International Management

Reference98 articles.

1. A model for the analysis of data-driven innovation and value generation in smart cities' ecosystems

2. A Survey of Text Clustering Algorithms

3. A Review of Smart Homes—Past, Present, and Future

4. Big Data, Big Insights? Advancing Service Innovation and Design With Machine Learning

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